Outcomes of Drug and Alcohol Treatment among American Indians in California - PowerPoint PPT Presentation

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Outcomes of Drug and Alcohol Treatment among American Indians in California

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Title: Outcomes of Drug and Alcohol Treatment among American Indians in California


1
Outcomes of Drug and Alcohol Treatment among
American Indians in California
  • Suzanne Spear
  • Semel Institute for Neuroscience and Human
    Behavior
  • David Geffen School of Medicine
  • University of California at Los Angeles
  • www.uclaisap.org
  • sspear_at_ucla.edu

2
Health disparities among American Indians (AIs)
  • Rates of substance dependence and abuse among
    persons age 12 and older are highest among AIs
    (14.1 percent)
  • Rates of illicit drug use (10.1 percent), alcohol
    (44.7 percent) and binge alcohol use (27.9
    percent) are among the highest in the nation
  • AIs die at higher rates than other Americans from
    alcoholism (770 percent)

Source US Dept Health and Human Services, 2003
3
California Treatment Outcomes Project (CalTOP)
  • Large, multi-site study of treatment client
    outcomes in CA (2000-2002)
  • Created an outcomes monitoring system in CA
  • Run by researchers at Integrated Substance Abuse
    Programs
  • Afforded opportunity to study substance abuse
    patterns among AI/AN adults

4
Research Questions
  • Aside from race/ethnicity, are AIs different from
    non-AIs at treatment entry on general
    characteristics and problem severity?
  • How do substance abuse treatment outcomes differ
    among AIs and non-AIs?

5
Methods
  • Secondary analysis of 368 AI patients and an
    equal number of non-AIs
  • matched in terms of treatment provider, primary
    drug problem, sex, and age 3 years
  • from 39 outpatient and residential treatment
    programs in 13 California counties who
    participated in CalTOP (El Dorado, San Diego, San
    Joaquin w/ highest numbers)

6
Methods
  • Patients assessed at
  • Admission Addiction Severity Index Lite
  • Discharge Status and time in treatment
  • 3 months after admission Treatment Services
    Review and Treatment Satisfaction
  • 9 months after admission Addiction Severity
    Index Lite
  • 12 months after admission official records on
    arrests, driving while under the influence of
    alcohol or drugs, and mental health care
  • Logistic regression models to examine differences
    in outcomes

7
Patient characteristics at admission
a AIs and CalTOP, plt0.05 b Non-AIs and CalTOP,
plt0.05 c AIs and non-AIs, plt0.05.
8
Patient characteristics at admission, cont.
a AIs and CalTOP, plt0.05 b Non-AIs and CalTOP,
plt0.05 c AIs and non-AIs, plt0.05.
9
Mean number of treatment days by modality
Treatment days
lt0.01
10
Treatment intensity All services received
Mean number of services received
t test on differences were significant when
comparing AIs and non-AIs, plt0.05.
11
Treatment intensity All alcohol services received
Mean number of services received
t test on differences were significant when
comparing AIs and non-AIs, plt0.05.
12
Treatment intensityAll individual sessions
received
Mean number of services received
t test on differences were significant when
comparing AIs and non-AIs, plt0.05
13
Treatment intensity Alcohol individual sessions
received
Mean number of services received
t test on differences were significant when
comparing AIs and non-AIs, plt0.05 plt0.01.
14
Treatment intensity Psychiatric group sessions
received
Mean number of services received
t test on differences were significant when
comparing AIs and non-AIs, plt0.05.
15
Decrease in problem severityfrom admission to
9-month follow-up
Mean pre-post change in ASI scores
ANCOVA test on ASI composite scores at follow-up
controlling for score at admission found no
significant differences between AIs and non-AIs,
plt0.05.
16
Improvements for AIs (before vs. after treatment)
  • Past 30 day use, 31.2 vs. 16.9
  • Alcohol use to intoxication, 23.4 vs. 7.7
  • Problems related to alcohol, 48.8 vs. 13.9
  • 3.8 increase in mental health services
  • 14.7 less arrests
  • Lot less DUIs (7 vs. 1.8)

17
Logistic regression models predicting arrests,
DUIs, and mental health services utilization
during 12-mo post treatment admission
plt0.05, plt0.01
18
Logistic regression models predicting arrests,
DUIs, and mental health services utilization
during 12-mo post treatment admission, cont.
plt0.05, plt0.01
19
Results summary
  • Pretreatment problems were similarly severe among
    AIs and non-AIs
  • About half in both groups either completed
    treatment or stayed in treatment more than 90
    days AIs in residential care had significantly
    shorter treatment retention
  • AIs received fewer individual sessions and
    out-of-program services, especially for alcohol
    abuse, but were nevertheless generally satisfied
    with their treatment

20
Results summary
  • Alcohol abuse and related problems among AIs were
    reduced as a result of treatment
  • AIs in residential received less referrals to
    outside services for alcohol
  • Service intensity was associated with retention
    for AIs in residential
  • Both groups improved after treatment, with AIs
    demonstrating greater reductions in arrests than
    non-AIs

21
Conclusions
  • Non-specialized substance abuse treatment
    programs were able to address the needs of their
    AI patients, although the type and intensity of
    services offered could be improved
  • Further examination is needed to understand how
    factors such as culture, ethnicity, geography,
    and acculturation within mainstream American
    society affect AI responses to treatment
  • Disparities in access to treatment may be more
    critical issue (gap between documented problems
    and number AIs receiving number in treatment)

22
Limitations
  • Treatment agencies not randomly selected and
    alcohol-only programs not included in study
  • Self-report measures
  • Insufficient program information gathered, not
    able to identify any culturally-specific
    content/activities
  • Involvement with AI cultures not ascertained

23
Acknowledgements
  • Principal Investigator Yih-Ing Hser, PhD
  • Project Director Elizabeth Evans, MA
  • Statistician Yu-Chang Huang, DrPH
  • Grant 1-UR1-TI11478-01, California Department of
    Alcohol and Drug Programs under the Center for
    Substance Abuse Treatment TOPPS II (Treatment
    Outcomes and Performance Pilot Studies
    Enhancement)

24
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